Research methods Flashcards
Aims
a general statement of intent before conducting a study
hypothesis
a statement made before the study begins stating the relationship between the variables
directional
makes clear the sort of difference that is anticipated in the study
non directional
only states the differences but does not specify the nature of the differences
when is directional hypothesis used
when past study’s and already obtained information suggests the outcome
when is a non directional hypothesis used
when we have no idea what the outcome will be as there is no past relationship
extraneous variables
unwanted variables that need to be manipulated or removed so they do not affect the dependent variable.
confounding variables
any other variable which affects the dependent variable so we are unsure of the true cause of change to the DV.
demand characteristics
any clues that may give away the intent of an experiment and lead to the participant acting differently.
investigator effects
any unwanted, usually unconscious, behaviours which influence the participants.
randomisation
used to minimize the effect of extraneous or confounding variables and investigator effects by using chance wherever possible.
standardisation
used to ensure the environment and instructions are the same for all participants
what do we mean by experimental design ?
how the testing of participants is arranged to the different experimental conditions
independent groups
using two different groups to test different conditions
repeated measures
both groups experience the same condition
matched pairs
participants are matched together based on similar traits EG gender and they are either put in group A or B
evaluation of independent groups
individual differences may affect the DV and produce bias results
they are less economical because one group yields only one set of results compared to repeated measures
order effects do not occur because participants are not likely to guess the aim of the study
evaluation of repeated measures
the order of tasks may be important and the order in which they do them may affect the results
order effects arise due to boredom or fatigue after completing one task
participants could work out the aims of the study
participant variables are controlled and fewer are needed as you yield more results anyway
evaluation of matched pairs
no order effects or demand characteristics
participants can never be matched exactly
matching is time consuming
lab experiments
highly controlled environment
not always an actual lab
field experiments
IV is manipulated in a naturalistic way which mimics everyday settings - not fake, real or at least seems it
natural experiments
when a researcher takes advantage of a pre existing IV that would exist with or without the researchers input EG smoking
quasi experiments
having a pre existing difference between people like age or gender, no one has manipulated this variable
evaluation of lab experiments
easy to replicate a lab environment because a standardised procedure is used
allow for precise control of extraneous and independent variables
lack of realism may produce unnatural behaviour
demand characteristics or investigator effects may bias results
evaluation of field experiments
natural setting means behaviour is likely to be more realistic
less likelihood of demand characteristics because participants may not know they are being studied
less control over extraneous variables that could bias results, making it difficult for another researcher to replicate results
participants cannot give consent
evaluation of natural experiments
very high ecological validity due to behaviour being more realistic
less likelihood of demand characteristics
can be used when it is ethically wrong to replicate IV
more expensive and tine consuming
no control over extraneous variables
evaluation of quasi experiments
high control due to lab conditions
confounding variables as we cannot randomly allocate people
what is sampling
process of selecting a representative group from a population
random sample
everyone from target population has an equal chance of being chosen
systematic sampling
sampling frame produced and subjects are chosen in a systematic way
stratified sampling
researcher works out the different types of people in population and works out proportions needed for representation
opportunity sampling
uses willing and available people
volunteer sample
participants volunteer themselves
evaluation of random sample
free from researcher bias as it is random
time consuming as full list of target population would be hard to obtain
you could have an unrepresentative target population
selected participants may refuse